Evidence map›Paper›PMID 25894356›Full record

ReviewCurrent psychiatry reports2015

Augmentation of Evidence-Based Psychotherapy for PTSD With Cognitive Enhancers.

Marie-France Marin, Sylwia Fowler Lonak, Mohammed R Milad

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Less fear, more diversity.PLoS biology · 2017
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Marie-France MarinDepartment of Psychiatry, Massachusetts General Hospital, 149 13th Street, Charlestown, MA, 02129, USA.
Sylwia Fowler Lonak
Mohammed R Milad
Massachusetts General Hospital · USHarvard University · US

Funding

The Influence of Estrogen on the Fear Extinction Network in HumansR01MH097880 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MILAD, MOHAMMED R · 2012 to 2016
$2.9M
Neural Mechanisms of Fear Extinction Across Anxiety DisordersR01MH097964 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MILAD, MOHAMMED R · 2012 to 2016
$2.9M
Canadian Institutes of Health ResearchNIMH NIH HHS R01MH097880NIMH NIH HHS R01MH097964
6 · The paper itself

Abstract

Exposure-based therapy has proven to be useful to treat various anxiety disorders as well as post-traumatic stress disorder (PTSD). Despite its efficacy, a fair proportion of patients remain symptomatic after treatment. Different lines of research have put considerable efforts to investigate ways to enhance the efficacy of exposure-based therapy, which could ultimately lead to better clinical outcomes for patients. Given that this type of therapy relies on extinction learning principles, neuroscience research has tested different adjuncts that could be used as cognitive enhancers through their impact on extinction learning and its consolidation. The current review will summarize some of the latest compounds that have received attention and show some promise to be used in clinical settings to improve the efficacy of exposure-based therapy.

Indexed as

PsychotherapyAdrenergic beta-AntagonistsAnimalsAnxiety DisordersCycloserineEndocannabinoidsEstrogensEvidence-Based MedicineHistone Deacetylase InhibitorsHumansMethylene BlueNootropic AgentsStress Disorders, Post-TraumaticAdrenergic beta-AntagonistsCycloserineEndocannabinoidsEstrogensHistone Deacetylase InhibitorsMethylene BlueNootropic Agents

Identifiers

PMID25894356
OpenAlexW2044705251

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.